Lightweight Non-Destructive Detection of Diseased Apples Based on Structural Re-Parameterization Technique

Lightweight Non-Destructive Detection of Diseased Apples Based on Structural Re-Parameterization Technique

This study addresses the challenges in the non-destructive detection of diseased apples, specifically the high complexity and poor real-time performance of the classification model for detecting diseased fruits in apple grading. Research is conducted on a lightweight model for apple defect recogniti...

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Bibliographic Details
Main Authors: Bo Han, Ziao Lu, Luan Dong, Jingjing Zhang
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Applied Sciences
Subjects:
artificial intelligence
non-destructive detection
diseased apples
lightweight
YOLOv8
Online Access:https://www.mdpi.com/2076-3417/14/5/1907

Internet

https://www.mdpi.com/2076-3417/14/5/1907

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